{"as_of":"2026-08-10T08:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69c1e7d14c78e13d2afe740628b23fa5a8e71cb3bc72f7c9d6458338f0016655","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T18:34:22.616679Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T18:38:48.752296Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.07870","last_updated":"2023-11-16T17:21:15Z","snapshot_observed_at":"2026-07-06T16:47:08.877195Z","submitted_at":"2023-11-14T03:00:50Z","title":"AutoML for Large Capacity Modeling of Meta's Ranking Systems","version":2},"cited_work":{"arxiv_id":"2311.07870","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.07870","snapshot_observed_at":"2026-07-03T18:38:48.752296Z","title":"Automl for large capacity modeling of meta ranking systems,","venue":null,"work_id":"8ad3d9d2-639b-469a-baf0-e7ea42e4babe","year":2023},"citing_paper":{"arxiv_id":"2607.01387","last_updated":"2026-07-01T18:47:42Z","snapshot_observed_at":"2026-08-08T13:07:07.911915Z","submitted_at":"2026-07-01T18:47:42Z","title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-03T18:34:22.616679Z"},"links":{"cited_paper":"/paper/2311.07870","citing_paper":"/paper/2607.01387"},"observation_digest":"sha256:4fa6cc05131a2a2e041d38f70295a6efccd3bbf684892d366c42c27e043ac73b","observation_id":"64e2e5be-fee7-47b3-ad89-ed0866024f9d","resolution":{"observed_at":"2026-07-03T18:38:48.753857Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.07870/citation-record","integrity":"/paper/2311.07870/integrity","json":"/paper/2311.07870/citation-record.json","paper":"/paper/2311.07870"},"outbound":[],"paper":{"arxiv_id":"2311.07870","last_updated":"2023-11-16T17:21:15Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T16:47:08.877195Z","submitted_at":"2023-11-14T03:00:50Z","title":"AutoML for Large Capacity Modeling of Meta's Ranking Systems"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2311.07870."}